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11 papers

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graph neural network (4) network data (2) relational data (2) graph convolutional network (2) network analysis (2) transfer learning (2) representation learning (2) ensemble inference (1) demographic group (1) graph neural tangent kernel (1)

Papers

Deep Learning on Graphs: A Data-Centric Exploration AAAI 2024 Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022 Neural markov logic networks UAI 2021 Ensemble Learning for Relational Data JMLR 2020 Graph Neural Architecture Search IJCAI 2020 Measuring and Improving the Use of Graph Information in Graph Neural Networks ICLR 2020 When Does Self-Supervision Help Graph Convolutional Networks? ICML 2020 Adversarial Examples for Graph Data: Deep Insights into Attack and Defense IJCAI 2019 Guarantees for Spectral Clustering with Fairness Constraints ICML 2019 Found Graph Data and Planted Vertex Covers NeurIPS 2018 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012